AutoML Leaderboard

Best model name model_type metric_type metric_value train_time single_prediction_time
1_DecisionTree Decision Tree logloss 0.11699 57.1 0.1464
2_DecisionTree Decision Tree logloss 0.105097 50.46 0.149
3_DecisionTree Decision Tree logloss 0.105097 50.77 0.1449
4_Default_Xgboost Xgboost logloss 0.0789783 31.27 0.1474
5_Default_RandomForest Random Forest logloss 0.101761 34.37 0.8934
6_Xgboost Xgboost logloss 0.0793339 33.1 0.1455
10_RandomForest Random Forest logloss 0.105246 29.34 0.2903
7_Xgboost Xgboost logloss 0.0791386 29.91 0.1467
11_RandomForest Random Forest logloss 0.0854321 65.18 0.3418
8_Xgboost Xgboost logloss 0.0807353 42.92 0.1541
12_RandomForest Random Forest logloss 0.112054 28.35 0.2675
9_Xgboost Xgboost logloss 0.0839567 34.27 0.1571
13_RandomForest Random Forest logloss 0.0873966 51.14 0.3929
4_Default_Xgboost_GoldenFeatures Xgboost logloss 0.0793227 40.76 0.2174
7_Xgboost_GoldenFeatures Xgboost logloss 0.0797409 36.49 0.2137
6_Xgboost_GoldenFeatures Xgboost logloss 0.0797254 38.28 0.2196
the best Ensemble Ensemble logloss 0.0789624 10.64 0.309

AutoML Performance

AutoML Performance

AutoML Performance Boxplot

AutoML Performance Boxplot

Features Importance

features importance across models

Spearman Correlation of Models

models spearman correlation